Student Assistants

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About the position

UniBE is interconnected.

With us, you’re part of an international community and benefit from interdisciplinary collaboration.

Responsibilities

• Teaching support, e.g. preparing course materials and organising courses
• Research support, e.g. programming online surveys
• Preparing and analysing data
• Writing short research briefs that summarise our findings for a broader audience
• Contributing to the social media team of the Institute of Sociology
• Other administrative tasks

Requirements

• You are a bachelor or master student at the Faculty of Business, Economics and Social Sciences (Wirtschafts- und Sozialwissenschaftliche Fakultät). Bachelor students are enrolled in the second or third year of their programme; master students still have at least 60 ECTS to complete before the end of their degree.
• You have skills in, or a strong interest in, data science and working with data. Experience with R, Stata or Python is an asset.
• You speak several languages. Very good English is essential, as it is the main working language of our team; further languages are a plus.
• You have a talent for organisation and can keep track of several tasks at the same time.
• You work precisely and reliably and bring a high degree of self-motivation.

Benefits

• Strong research infrastructure and international network
• Collaborative environment and ambitious team
• Individual career support
• International reputation

Application

Please submit your application (motivation letter, CV and university transcripts) electronically as a single PDF exlusively via the „apply“ button by 16 November 2026.

Application

More Information
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Application Process

Your position

The team of Prof. Dr. Benita Combet is looking for one to two motivated student assistants to support our research and teaching, preferably 40% each, but up to disussion. The position is limited to one year, with the possibility of extension. Our research examines how professional career paths vary by gender, ethnicity, and social background. You will be part of a large, international team consisting of the professor, two postdoctoral researchers, two PhD students and other student assistants. English is the main working language of our team.